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Table.Pivot

Ņemot vērā kolonnu pārus, kas pārstāv atribūtu vērtību pārus, dati atribūtu kolonnā tiek pārvērsti par kolonnu virsrakstiem.

Syntax​

Table.Pivot(
    table as table,
    pivotValues as list,
    attributeColumn as text,
    valueColumn as text,
    optional aggregationFunction as function
) as table

Remarks​

Ņemot vērā kolonnu pārus, kas pārstāv atribūtu vērtību pārus, dati atribūtu kolonnā tiek pārvērsti par kolonnu virsrakstiem.

Examples​

Example #1​

Izmantojiet vērtības a, b un c tabulas ({ [ key = "x", attribute = "a", value = 1 ], [ key = "x", attribute = "c", value = 3 ], [ key = "y", attribute = "a", value = 2 ], [ key = "y", attribute = "b", value = 4 ] }) atribūtu kolonnā un novietojiet tās atsevišķās kolonnās.

Table.Pivot(
    Table.FromRecords({
        [key = "x", attribute = "a", value = 1],
        [key = "x", attribute = "c", value = 3],
        [key = "y", attribute = "a", value = 2],
        [key = "y", attribute = "b", value = 4]
    }),
    {"a", "b", "c"},
    "attribute",
    "value"
)

Result:

Table.FromRecords({
    [key = "x", a = 1, b = null, c = 3],
    [key = "y", a = 2, b = 4, c = null]
})

Example #2​

Izmantojiet vērtības a, b un c tabulas ({ [ key = "x", attribute = "a", value = 1 ], [ key = "x", attribute = "c", value = 3 ], [ key = "x", attribute = "c", value = 5 ], [ key = "y", attribute = "a", value = 2 ], [ key = "y", attribute = "b", value = 4 ] }) atribūtu kolonnā un novietojiet tās atsevišķās kolonnās. Ar atslēgas x atribūtu c ir saistītas vairākas vērtības, tāpēc izmantojiet funkciju List.Max, lai novērstu konfliktu.

Table.Pivot(
    Table.FromRecords({
        [key = "x", attribute = "a", value = 1],
        [key = "x", attribute = "c", value = 3],
        [key = "x", attribute = "c", value = 5],
        [key = "y", attribute = "a", value = 2],
        [key = "y", attribute = "b", value = 4]
    }),
    {"a", "b", "c"},
    "attribute",
    "value",
    List.Max
)

Result:

Table.FromRecords({
    [key = "x", a = 1, b = null, c = 5],
    [key = "y", a = 2, b = 4, c = null]
})

Category​

Table.Column operations